Semi-Automated Risk Assessment of Data Provenance and Clinical Free-text in TREs

数据正在改变健康和社会保健，使改变生活的发现成为可能，推进医疗保健服务，改善生活。然而，卫生数据提供者在提取和链接这些复杂数据以及保障其安全发布用于研究方面面临挑战。风险评估是确保数据发布不构成隐私风险的关键，例如包含可识别的患者信息或确保患者记录得到正确处理。然而，目前这些治理过程是临时的、手工的、耗时的，并且可能禁止数据发布，最终限制了新的卫生和社会保健创新。该项目将专注于提供半自动化工具，以改善风险评估和监测的两个领域：数据来源，提高数据摄取、处理和链接的可信度，确保其符合研究要求；隐私评估，将临床自由文本记录（如全科医生信函、出院摘要）中可识别信息的风险降至最低。公众参与和参与是我们项目的核心，确保风险得到正确识别和解决，我们的方法是透明和可理解的。我们的合作方法将为英国所有健康数据提供者提供一个可实施的工具包。该项目为数据审计和发布提供了显著的好处，改善了组织之间的一致性，为研究人员提供了访问时间，并促进了以前不可行的数据访问。

Data is transforming health and social care, enabling life-changing discoveries, advancing healthcare services, and improving lives. Yet health data providers face challenges in extracting and linking this complex data and safeguarding its safe release for research. Risk assessments are key to ensure that data releases do not pose privacy risks, such as containing identifiable patient information or that patients’ records are processed correctly. However, currently these governance processes are ad-hoc, manual, time consuming and may prohibit data release, ultimately limiting new health and social care innovation.This project will focus on delivering semi-automated tools to improve two areas of risk assessment and monitoring: Data provenance, improving trustworthiness of data ingestion, processing and linking, making sure it is compliant for research; and Privacy assessment, minimising the risk of identifiable information in clinical free-text records (e.g. GP letters, discharge summaries). Public involvement and engagement are central to our project, ensuring risks are properly identified and addressed, and our methods are transparent and understandable.Our collaborative approach will produce an implementable toolkit for all health data providers across the UK. This project offers significant benefits for data audit and release, improving consistency between organisations, access time for researchers and promoting access to data that has not been feasible before.